J.Jill (JILL) Return on Sales [ROS] (2016 - 2026)
J.Jill (JILL) posted Return on Sales [ROS] of 15.68% for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 4.78 percentage points from 10.90% a year earlier and up 9.62 percentage points from the prior quarter.
J.Jill (JILL) Return on Sales [ROS] (2016 - 2026) Analysis & Trends
For the trailing twelve months through Aug 1, 2026, Return on Sales [ROS] at J.Jill was 8.13%, down 1.87 percentage points year-over-year; for FY2026 (ended Jan 31, 2026), it came in at 8.48%, down 3.91 percentage points from FY2025.
- Annual Return on Sales [ROS] shows a five-year change of +46.94 percentage points (FY2021 to FY2026).
- In prior fiscal years, J.Jill's Return on Sales [ROS] was 12.39% in FY2025 (-1.76 pp), 14.15% in FY2024 (+1.42 pp), 12.73% in FY2023 (+2.70 pp) and 10.03% in FY2022 (+48.49 pp).
- The fiscal Q2 2027 figure stands as the highest quarterly Return on Sales [ROS] since fiscal Q1 2025.
- On a year-over-year basis, Return on Sales [ROS] increased in 1 of the last eight quarters, with an average year-over-year change of -2.81 percentage points.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was fiscal Q3 2022, with a gain of 33.08 percentage points; the weakest was fiscal Q1 2027, with a drop of 6.34 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior fiscal quarters was 6.07% (Q1 2027), -0.11% (Q4 2026) and 9.91% (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,712.14 Bn | 2,228.84 Bn | 104.83 Bn | 13.69% |
| 2 | Home Depot | 282.27 Bn | 275.52 Bn | 16.12 Bn | 14.29% |
| 3 | Tjx Companies | 146.16 Bn | 123.70 Bn | 5.07 Bn | 13.09% |
| 4 | Lowes Companies | 101.42 Bn | 94.39 Bn | 8.58 Bn | 13.67% |
| 5 | Ross Stores | 73.06 Bn | 55.98 Bn | 2.12 Bn | 17.62% |
| 6 | Target | 70.86 Bn | 65.45 Bn | 8.94 Bn | 9.65% |
| 7 | Carvana | 70.11 Bn | 61.71 Bn | 1.38 Bn | 9.22% |
| 8 | O Reilly Automotive | 69.29 Bn | 68.38 Bn | 2.52 Bn | 20.15% |
| 9 | Autozone | 45.61 Bn | 44.51 Bn | 2.52 Bn | 19.08% |
| 10 | J.Jill | 370.44 Mn | 157.86 Mn | 118.98 Mn | 15.68% |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 15.68% |
| May 2, 2026 | 6.07% |
| Jan 31, 2026 | -0.11% |
| Nov 1, 2025 | 9.91% |
| Aug 2, 2025 | 10.90% |
| May 3, 2025 | 12.41% |
| Feb 1, 2025 | 3.56% |
| Nov 2, 2024 | 12.71% |
| Aug 3, 2024 | 14.83% |
| May 4, 2024 | 17.57% |
| Feb 3, 2024 | 6.98% |
| Oct 28, 2023 | 14.67% |
| Jul 29, 2023 | 17.90% |
| Apr 29, 2023 | 16.90% |
| Jan 28, 2023 | 5.17% |
| Oct 29, 2022 | 12.55% |
| Jul 30, 2022 | 17.58% |
| Apr 30, 2022 | 15.21% |
| Jan 29, 2022 | 5.18% |
| Oct 30, 2021 | 12.52% |
J.Jill Return on Sales [ROS] API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=return-on-sales-%5Bros%5D&ticker=JILL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "JILL", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=return-on-sales-%5Bros%5D&ticker=JILL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();